In this webinar, Matthew Segall and Peter Hunt demonstrate how Inspyra™ creates a seamless blend of your expertise and unique AI that fits naturally within your workflow. It helps you to rigorously explore many optimisation strategies and quickly identify high-quality compounds for your projects.
Inspyra™ harnesses your expert chemistry knowledge and the exploratory power of generative methods to help you identify optimal compounds faster. As you work, Inspyra™ continuously generates new compound ideas in the background while learning from your interactions.
Your responses to the ideas proposed by Inspyra™ guide the generative chemistry methods to explore vast regions of chemistry space around your chemical series and suggest optimisation strategies that are most likely to succeed in your projects.
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Finding balance in drug discovery through multi-parameter optimisation
Successful drugs require a delicate balance of many properties, such as potency, ADME and toxicity, to meet a project’s therapeutic objective. To make decisions about compound progression and assay selection, the available data must be assessed against project-specific criteria. However, the data on which we base our decisions often come from different sources and can vary in quality, so how can we use this information to make confident decisions? In addition, how can we be sure that the criteria we’re using are the most appropriate?
